INTEGRATION OF OBD-II VEHICLE DIAGNOSTICS WITH FINITE STATE MACHINE SOFTWARE DESIGN
Dmytro Nikitin, Oleksandr Rybitskyi
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Finite-state machine method in the safety assessment process using Stateflow diagrams
A. S. Savel'Ev +3 more
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The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Investigating the Growth of GaSb Single Crystals through Optimized LEC Method Utilizing Finite Element Simulation and Machine Learning Techniques. [PDF]
Han J +8 more
europepmc +1 more source
A Proof of the Collatz Conjecture via Finite State Machine Analysis and Structural Confinement
Amarachukwu Nwankpa
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Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk +2 more
wiley +1 more source
Machine learning-driven multi-objective optimization of straight-blade paddle mixers for efficient mixing in melt-cast explosives systems. [PDF]
Li C, Wang J, Meng J, Luo Y.
europepmc +1 more source
Solving Partially Observable Problems by Evolution and Learning of Finite State Machines
Eduardo García Sánchez +2 more
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Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications
This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley +1 more source
Application of Machine Learning Models in Predicting Vibration Frequencies of Thin Variable Thickness Plates. [PDF]
Domagalski Ł, Kowalczyk I.
europepmc +1 more source

